Hindsight Bias and Outcome Bias in Judging Directors' Liability and The

Total Page:16

File Type:pdf, Size:1020Kb

Hindsight Bias and Outcome Bias in Judging Directors' Liability and The Received: 7 June 2020 | Revised: 12 September 2020 | Accepted: 18 October 2020 DOI: 10.1111/jasp.12722 ORIGINAL ARTICLE Hindsight bias and outcome bias in judging directors’ liability and the role of free will beliefs Niek Strohmaier1 | Helen Pluut1 | Kees van den Bos2 | Jan Adriaanse1 | Reinout Vriesendorp3 1Department of Business Studies, Leiden University, Leiden, the Netherlands Abstract 2Department of Psychology and School Following a corporate disaster such as bankruptcy, people in general and dam- of Law, Utrecht University, Utrecht, the aged parties, in particular, want to know what happened and whether the com- Netherlands 3Department of Company Law and pany's directors are to blame. The accurate assessment of directors’ liability can Department of Business Studies, Leiden be jeopardized by having to judge in hindsight with full knowledge of the adverse University, Leiden, the Netherlands outcome. The present study investigates whether professional legal investiga- Correspondence tors such as judges and lawyers are affected by hindsight bias and outcome Niek Strohmaier, Department of Business Studies, Leiden University, Steenschuur 25, bias when evaluating directors’ conduct in a bankruptcy case. Additionally, to 2311 ES Leiden, the Netherlands. advance our understanding of the mechanisms underlying these biases, we also Email: [email protected] examine whether free will beliefs can predict susceptibility to hindsight bias and outcome bias in this context. In two studies (total N = 1,729), we demonstrate that legal professionals tend to judge a director's actions more negatively and perceive bankruptcy as more foreseeable in hindsight than in foresight and that these effects are significantly stronger for those who endorse the notion that humans have free will. This contribution is particularly timely considering the many companies that are currently going bankrupt or are facing bankruptcy amidst the COVD-19 pandemic. 1 | INTRODUCTION 2001, the collapse of Lehman Brothers in 2008, and more recently the Volkswagen emissions scandal, the public (as well as the author- After a disastrous event, public outcry often follows over who is to ities) demanded thorough investigations and that those to blame blame. Think for example of the sinking of the MS Estonia cruise were held accountable. Also in less high-profile cases of business ferry in 1994, the Deepwater Horizon oil spill in the Gulf of Mexico failure do the local communities or creditors typically appeal for a in 2010, or the Ponte Marandi bridge collapse in Genoa (Italy) in thorough investigation into the causes of the event. In some juris- 2018, just to name a few. In such cases, people want to know what dictions, an investigation into the causes of a company's failure is caused the event and whether there is someone to blame and to even mandatory. be held legally liable for the consequences. In this regard, corporate In such investigations, attention often centers on the role of the “disasters” are not much different. After the Enron bankruptcy in company's directors to for example determine whether there has This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. © 2020 The Authors. Journal of Applied Social Psychology published by Wiley Periodicals LLC J Appl Soc Psychol. 2020;00:1–18. wileyonlinelibrary.com/journal/jasp | 1 2 | STROHMAIER et AL. been a breach of fiduciary duties, wrongful trading, or gross business investigating this relationship might help improve our understanding misjudgments.1 If such wrongful conduct is, indeed, proven, direc- of the drivers behind these biases. tors can be held liable for damages, and creditors thus (partly) re- claim their losses. Investigations into a director's conduct are normally carried out by professionals who have a legal or financial 1.1 | Hindsight bias in legal judgments background (or both), such as lawyers, trustees, insolvency practi- tioners, liquidators, or forensic accountants, possibly in conjunction The first empirical evidence for hindsight bias was provided by with an investigating judge/magistrate (in inquisitorial systems). Baruch Fischhoff who originally dubbed it as “creeping determin- It is imperative that these legal professionals assess a direc- ism”, pointing to the idea that once actualized, events appear as tors’ actions in relation to an adverse event in an objective and though they had to happen, given the seemingly logical and linear reliable manner. Accurate and unbiased assessments are import- causal chain leading up to the event's occurrence (Fischhoff, 1975; ant for general reasons such as predictability of the relevant leg- Fischhoff & Beyth, 1975; for reviews of the hindsight bias literature, islation (i.e., legal certainty) and resultant trust in legal systems, see Christensen-Szalanski & Willham, 1991; Guilbault et al., 2004; but also because being held liable for a company's downfall can Hawkins & Hastie, 1990; Roese & Vohs, 2012). Recent research have detrimental effects on a director's personal well-being has suggested that hindsight bias is not a unified concept and is (Jenkins et al., 2014; Kesteren et al., 2017; Ucbasaran et al., 2013). rather best regarded as an umbrella term for three separate, al- Additionally, from a professional point of view, reputations are at beit related, biases, each with different causal mechanisms (e.g., risk, and liability for all creditor claims on the bankrupt estate in Blank et al., 2008; Kelman et al., 1998; Nestler et al., 2010; Roese some cases far exceed insurance coverage and can, therefore, lead & Vohs, 2012). Specifically, hindsight bias can refer to (1) a distorted to dire financial circumstances in the private sphere. Hence, an ac- memory of previous events or judgments, (2) subjective beliefs of an curate assessment of a director's conduct in relation to an adverse event's inevitability (“it had to happen”), or (3) subjective beliefs of event is paramount. an event's foreseeability (“I knew it would happen”). For the law, the However, there is good reason to believe that the accurate most relevant component of hindsight bias is that in foreseeability assessment of a director's conduct and its relation to a corporate judgments. mishap can be jeopardized by the fact that such assessments are The causes of hindsight bias in perceived foreseeability can be made in hindsight when the investigators and legal decision mak- found in cognitive (i.e., sense-making), meta-cognitive (i.e., fluency ers are aware of the adverse outcome. Judgments made in hindsight in sense-making), and motivational processes (Roese & Vohs, 2012). are notoriously susceptible to hindsight bias, which is the phenom- In contrast to other cognitive biases that operate largely in an au- enon of perceiving past events as more foreseeable and/or inevi- tomatic and unconscious fashion, hindsight bias relies on an im- table than was realistically the case prior to the event's unfolding portant part in conscious deliberation and sense-making processes. (Fischhoff, 1975). Additionally, when judging in hindsight people Specifically, an event appears to have been more inevitable and fore- tend to let the consequences of a certain decision or action unjus- seeable when it is easier to make sense of (Blank & Nestler, 2007; tifiably affect their judgments regarding the quality of that action Hawkins & Hastie, 1990; Wilson & Gilbert, 2008) or when the causal or decision, such that these are perceived more negatively after a chain leading up to the event is easily identifiable and straightfor- negative outcome than after a positive outcome (i.e., outcome bias; ward (Trabasso & van den Broek, 1985; Wasserman et al., 1991; Baron & Hershey, 1988). As a result of hindsight bias and outcome Yopchick & Kim, 2012). Hindsight bias in perceived foreseeability bias, decisions made by a director that seemed reasonable at the can also result from meta-cognitive and motivational processes. time, might in case of a bad outcome (e.g., company going bankrupt) Specifically, when one reflects on how a certain course of events be perceived as negligent. might ultimately have turned out differently and one experiences That being said, it currently remains an open question whether difficulties conceiving such counterfactuals, this meta-cognitive ex- legal professionals who investigate and evaluate a director's conduct perience is used to infer that the actual outcome must have been the are, indeed, affected by hindsight bias and outcome bias. The current most likely one and that this outcome was, therefore, foreseeable paper's primary goal is to address this question, as we posit that pre- (Sanna & Schwarz, 2007). With regard to motivational processes, vious research on hindsight bias does not fully allow for extrapola- people who have a stronger need for control or closure are generally tion to the current context of directors’ liability cases. An additional, more motivated to perceive the world in a predictable and orderly more explorative goal of the current paper is to investigate the rela- fashion and are, therefore, likely to be motivated to retrospectively tionship between legal professionals’ beliefs regarding free will and judge events as having been foreseeable (Musch, 2003; Musch & their susceptibility to hindsight bias and outcome bias. We believe Wagner, 2007; Tykocinski, 2001). Evidence suggests that hindsight bias can manifest
Recommended publications
  • A Task-Based Taxonomy of Cognitive Biases for Information Visualization
    A Task-based Taxonomy of Cognitive Biases for Information Visualization Evanthia Dimara, Steven Franconeri, Catherine Plaisant, Anastasia Bezerianos, and Pierre Dragicevic Three kinds of limitations The Computer The Display 2 Three kinds of limitations The Computer The Display The Human 3 Three kinds of limitations: humans • Human vision ️ has limitations • Human reasoning 易 has limitations The Human 4 ️Perceptual bias Magnitude estimation 5 ️Perceptual bias Magnitude estimation Color perception 6 易 Cognitive bias Behaviors when humans consistently behave irrationally Pohl’s criteria distilled: • Are predictable and consistent • People are unaware they’re doing them • Are not misunderstandings 7 Ambiguity effect, Anchoring or focalism, Anthropocentric thinking, Anthropomorphism or personification, Attentional bias, Attribute substitution, Automation bias, Availability heuristic, Availability cascade, Backfire effect, Bandwagon effect, Base rate fallacy or Base rate neglect, Belief bias, Ben Franklin effect, Berkson's paradox, Bias blind spot, Choice-supportive bias, Clustering illusion, Compassion fade, Confirmation bias, Congruence bias, Conjunction fallacy, Conservatism (belief revision), Continued influence effect, Contrast effect, Courtesy bias, Curse of knowledge, Declinism, Decoy effect, Default effect, Denomination effect, Disposition effect, Distinction bias, Dread aversion, Dunning–Kruger effect, Duration neglect, Empathy gap, End-of-history illusion, Endowment effect, Exaggerated expectation, Experimenter's or expectation bias,
    [Show full text]
  • Communication Science to the Public
    David M. Berube North Carolina State University ▪ HOW WE COMMUNICATE. In The Age of American Unreason, Jacoby posited that it trickled down from the top, fueled by faux-populist politicians striving to make themselves sound approachable rather than smart. (Jacoby, 2008). EX: The average length of a sound bite by a presidential candidate in 1968 was 42.3 seconds. Two decades later, it was 9.8 seconds. Today, it’s just a touch over seven seconds and well on its way to being supplanted by 140/280- character Twitter bursts. ▪ DATA FRAMING. ▪ When asked if they truly believe what scientists tell them, NEW ANTI- only 36 percent of respondents said yes. Just 12 percent expressed strong confidence in the press to accurately INTELLECTUALISM: report scientific findings. ▪ ROLE OF THE PUBLIC. A study by two Princeton University researchers, Martin TRENDS Gilens and Benjamin Page, released Fall 2014, tracked 1,800 U.S. policy changes between 1981 and 2002, and compared the outcome with the expressed preferences of median- income Americans, the affluent, business interests and powerful lobbies. They concluded that average citizens “have little or no independent influence” on policy in the U.S., while the rich and their hired mouthpieces routinely get their way. “The majority does not rule,” they wrote. ▪ Anti-intellectualism and suspicion (trends). ▪ Trump world – outsiders/insiders. ▪ Erasing/re-writing history – damnatio memoriae. ▪ False news. ▪ Infoxication (CC) and infobesity. ▪ Aggregators and managed reality. ▪ Affirmation and confirmation bias. ▪ Negotiating reality. ▪ New tribalism is mostly ideational not political. ▪ Unspoken – guns, birth control, sexual harassment, race… “The amount of technical information is doubling every two years.
    [Show full text]
  • Understanding Outcome Bias ∗
    Understanding Outcome Bias ∗ Andy Brownbacky Michael A. Kuhnz University of Arkansas University of Oregon January 31, 2019 Abstract Disentangling effort and luck is critical when judging performance. In a principal-agent experiment, we demonstrate that principals' judgments of agent effort are biased by luck, despite perfectly observing the agent's effort. This bias can erode the power of incentives to stimulate effort when there is noise in the outcome process. As such, we explore two potential solutions to this \outcome bias" { control over irrelevant information about luck, and outsourcing judgment to independent third parties. We find that both are ineffective. When principals have control over information about luck, they do not avoid the information that biases their judgment. In contrast, when agents have control over the principal's information about luck, agents strategically manipulate principals' outcome bias to minimize their punishments. We also find that independent third parties are just as biased as principals. These findings indicate that outcome bias may be more widespread and pernicious than previously understood. They also suggest that outcome bias cannot be driven solely by disappointment nor by distributional preferences. Instead, we hypothesize that luck directly affects beliefs about agents even though effort is perfectly observed. We elicit the beliefs of third parties and principals and find that lucky agents are believed to exert more effort in general than identical, unlucky agents. JEL Classification: C92, D63, D83 Keywords: Experiment, Reciprocity, Outcome Bias, Attribution Bias, Blame ∗We wish to thank Gary Charness, Ryan Oprea, Peter Kuhn, Joshua Miller, Justin Rao, and James Andreoni for valuable feedback.
    [Show full text]
  • Moral Hindsight
    Special Issue: Moral Agency Research Article Moral Hindsight Nadine Fleischhut,1 Björn Meder,2 and Gerd Gigerenzer2,3 1Center for Adaptive Rationality, Max Planck Institute for Human Development, Berlin, Germany 2Center for Adaptive Behavior and Cognition, Max Planck Institute for Human Development, Berlin, Germany 3Center for Adaptive Behavior and Cognition, Harding Center for Risk Literacy, Max Planck Institute for Human Development, Berlin, Germany Abstract: How are judgments in moral dilemmas affected by uncertainty, as opposed to certainty? We tested the predictions of a consequentialist and deontological account using a hindsight paradigm. The key result is a hindsight effect in moral judgment. Participants in foresight, for whom the occurrence of negative side effects was uncertain, judged actions to be morally more permissible than participants in hindsight, who knew that negative side effects occurred. Conversely, when hindsight participants knew that no negative side effects occurred, they judged actions to be more permissible than participants in foresight. The second finding was a classical hindsight effect in probability estimates and a systematic relation between moral judgments and probability estimates. Importantly, while the hindsight effect in probability estimates was always present, a corresponding hindsight effect in moral judgments was only observed among “consequentialist” participants who indicated a cost-benefit trade-off as most important for their moral evaluation. Keywords: moral judgment, hindsight effect, moral dilemma, uncertainty, consequentialism, deontological theories Despite ongoing efforts, hunger crises still regularly occur all deliberately in these dilemmas, where all consequences are over the world. From 2014 to 2016,about795 million people presented as certain (Gigerenzer, 2010). Moreover, using worldwide were undernourished, almost all of them in dilemmas with certainty can result in a mismatch with developing countries (FAO, IFAD, & WFP, 2015).
    [Show full text]
  • Infographic I.10
    The Digital Health Revolution: Leaving No One Behind The global AI in healthcare market is growing fast, with an expected increase from $4.9 billion in 2020 to $45.2 billion by 2026. There are new solutions introduced every day that address all areas: from clinical care and diagnosis, to remote patient monitoring to EHR support, and beyond. But, AI is still relatively new to the industry, and it can be difficult to determine which solutions can actually make a difference in care delivery and business operations. 59 Jan 2021 % of Americans believe returning Jan-June 2019 to pre-coronavirus life poses a risk to health and well being. 11 41 % % ...expect it will take at least 6 The pandemic has greatly increased the 65 months before things get number of US adults reporting depression % back to normal (updated April and/or anxiety.5 2021).4 Up to of consumers now interested in telehealth going forward. $250B 76 57% of providers view telehealth more of current US healthcare spend % favorably than they did before COVID-19.7 could potentially be virtualized.6 The dramatic increase in of Medicare primary care visits the conducted through 90% $3.5T telehealth has shown longevity, with rates in annual U.S. health expenditures are for people with chronic and mental health conditions. since April 2020 0.1 43.5 leveling off % % Most of these can be prevented by simple around 30%.8 lifestyle changes and regular health screenings9 Feb. 2020 Apr. 2020 OCCAM’S RAZOR • CONJUNCTION FALLACY • DELMORE EFFECT • LAW OF TRIVIALITY • COGNITIVE FLUENCY • BELIEF BIAS • INFORMATION BIAS Digital health ecosystems are transforming• AMBIGUITY BIAS • STATUS medicineQUO BIAS • SOCIAL COMPARISONfrom BIASa rea• DECOYctive EFFECT • REACTANCEdiscipline, • REVERSE PSYCHOLOGY • SYSTEM JUSTIFICATION • BACKFIRE EFFECT • ENDOWMENT EFFECT • PROCESSING DIFFICULTY EFFECT • PSEUDOCERTAINTY EFFECT • DISPOSITION becoming precise, preventive,EFFECT • ZERO-RISK personalized, BIAS • UNIT BIAS • IKEA EFFECT and • LOSS AVERSION participatory.
    [Show full text]
  • The Comprehensive Assessment of Rational Thinking
    EDUCATIONAL PSYCHOLOGIST, 51(1), 23–34, 2016 Copyright Ó Division 15, American Psychological Association ISSN: 0046-1520 print / 1532-6985 online DOI: 10.1080/00461520.2015.1125787 2013 THORNDIKE AWARD ADDRESS The Comprehensive Assessment of Rational Thinking Keith E. Stanovich Department of Applied Psychology and Human Development University of Toronto, Canada The Nobel Prize in Economics was awarded in 2002 for work on judgment and decision- making tasks that are the operational measures of rational thought in cognitive science. Because assessments of intelligence (and similar tests of cognitive ability) are taken to be the quintessence of good thinking, it might be thought that such measures would serve as proxies for the assessment of rational thought. It is important to understand why such an assumption would be misplaced. It is often not recognized that rationality and intelligence (as traditionally defined) are two different things conceptually and empirically. Distinguishing between rationality and intelligence helps explain how people can be, at the same time, intelligent and irrational. Thus, individual differences in the cognitive skills that underlie rational thinking must be studied in their own right because intelligence tests do not explicitly assess rational thinking. In this article, I describe how my research group has worked to develop the first prototype of a comprehensive test of rational thought (the Comprehensive Assessment of Rational Thinking). It was truly a remarkable honor to receive the E. L. Thorn- Cunningham, of the University of California, Berkeley. To dike Career Achievement Award for 2012. The list of previ- commemorate this award, Anne bought me a 1923 ous winners is truly awe inspiring and humbling.
    [Show full text]
  • 50 Cognitive and Affective Biases in Medicine (Alphabetically)
    50 Cognitive and Affective Biases in Medicine (alphabetically) Pat Croskerry MD, PhD, FRCP(Edin), Critical Thinking Program, Dalhousie University Aggregate bias: when physicians believe that aggregated data, such as those used to develop clinical practice guidelines, do not apply to individual patients (especially their own), they are exhibiting the aggregate fallacy. The belief that their patients are atypical or somehow exceptional, may lead to errors of commission, e.g. ordering x-rays or other tests when guidelines indicate none are required. Ambiguity effect: there is often an irreducible uncertainty in medicine and ambiguity is associated with uncertainty. The ambiguity effect is due to decision makers avoiding options when the probability is unknown. In considering options on a differential diagnosis, for example, this would be illustrated by a tendency to select options for which the probability of a particular outcome is known over an option for which the probability is unknown. The probability may be unknown because of lack of knowledge or because the means to obtain the probability (a specific test, or imaging) is unavailable. The cognitive miser function (choosing an option that requires less cognitive effort) may also be at play here. Anchoring: the tendency to perceptually lock on to salient features in the patient’s initial presentation too early in the diagnostic process, and failure to adjust this initial impression in the light of later information. This bias may be severely compounded by the confirmation bias. Ascertainment bias: when a physician’s thinking is shaped by prior expectation; stereotyping and gender bias are both good examples. Attentional bias: the tendency to believe there is a relationship between two variables when instances are found of both being present.
    [Show full text]
  • 1 Embrace Your Cognitive Bias
    1 Embrace Your Cognitive Bias http://blog.beaufortes.com/2007/06/embrace-your-co.html Cognitive Biases are distortions in the way humans see things in comparison to the purely logical way that mathematics, economics, and yes even project management would have us look at things. The problem is not that we have them… most of them are wired deep into our brains following millions of years of evolution. The problem is that we don’t know about them, and consequently don’t take them into account when we have to make important decisions. (This area is so important that Daniel Kahneman won a Nobel Prize in 2002 for work tying non-rational decision making, and cognitive bias, to mainstream economics) People don’t behave rationally, they have emotions, they can be inspired, they have cognitive bias! Tying that into how we run projects (project leadership as a compliment to project management) can produce results you wouldn’t believe. You have to know about them to guard against them, or use them (but that’s another article)... So let’s get more specific. After the jump, let me show you a great list of cognitive biases. I’ll bet that there are at least a few that you haven’t heard of before! Decision making and behavioral biases Bandwagon effect — the tendency to do (or believe) things because many other people do (or believe) the same. Related to groupthink, herd behaviour, and manias. Bias blind spot — the tendency not to compensate for one’s own cognitive biases. Choice-supportive bias — the tendency to remember one’s choices as better than they actually were.
    [Show full text]
  • Heuristics and Cognitive Biases in Decision Making Process
    Heuristics and Cognitive Biases in Decision Making Process Anna Marta Winniczuk Kozminski University [email protected] EXTENDED ABSTRACT The goal of this paper is to recognize the most commonly present heuristics and cognitive biases occurring during managerial decision making process. The study will use simulation game as a space to track how game participants are perceiving their biases and heuristics during the game. The purpose of the study is to identify the most commonly used cognitive biases and heuristics in decision making process and compare them to performance of the team and their decisions in the simulation game, which will give valuable insights that can improve game-based business learning. Decision making is one of the crucial processes occurring every day in every organization. The process of making decisions in business situations is influenced by a variety of different circumstances, thus the subject is widely discussed in both academic and professional publications. The subject of heuristics and cognitive biases was widely introduced into decision making science by David Kahneman and Tversky (Tversky & Kahneman, 1973) and furtherly researched by other authors(Baron & Hershey, 1988); Griffin, D., Gonzalez, R., & Varey, C., 2001). In 2011, David Kahneman, Dan Lovallo and Oliver Sibony in their article “The Big Idea: Before You Make That Big Decision…” published in Harvard Business Review listed a checklist for managers to avoid cognitive biases in their decision making process. The most common cognitive biases in managerial decisions are: confirmation bias, availability bias, anchoring, halo effect , overconfidence, disaster neglect and loss aversion (Kahneman & Sibony, 2011). Mentioned above biases are widely common in managerial decision making process and worth examining in an experimental learning environment of a simulation game.
    [Show full text]
  • Influence of Cognitive Biases in Distorting Decision Making and Leading to Critical Unfavorable Incidents
    Safety 2015, 1, 44-58; doi:10.3390/safety1010044 OPEN ACCESS safety ISSN 2313-576X www.mdpi.com/journal/safety Article Influence of Cognitive Biases in Distorting Decision Making and Leading to Critical Unfavorable Incidents Atsuo Murata 1,*, Tomoko Nakamura 1 and Waldemar Karwowski 2 1 Department of Intelligent Mechanical Systems, Graduate School of Natural Science and Technology, Okayama University, Okayama, 700-8530, Japan; E-Mail: [email protected] 2 Department of Industrial Engineering & Management Systems, University of Central Florida, Orlando, 32816-2993, USA; E-Mail: [email protected] * Author to whom correspondence should be addressed; E-Mail: [email protected]; Tel.: +81-86-251-8055; Fax: +81-86-251-8055. Academic Editor: Raphael Grzebieta Received: 4 August 2015 / Accepted: 3 November 2015 / Published: 11 November 2015 Abstract: On the basis of the analyses of past cases, we demonstrate how cognitive biases are ubiquitous in the process of incidents, crashes, collisions or disasters, as well as how they distort decision making and lead to undesirable outcomes. Five case studies were considered: a fire outbreak during cooking using an induction heating (IH) cooker, the KLM Flight 4805 crash, the Challenger space shuttle disaster, the collision between the Japanese Aegis-equipped destroyer “Atago” and a fishing boat and the Three Mile Island nuclear power plant meltdown. We demonstrate that heuristic-based biases, such as confirmation bias, groupthink and social loafing, overconfidence-based biases, such as the illusion of plan and control, and optimistic bias; framing biases majorly contributed to distorted decision making and eventually became the main cause of the incident, crash, collision or disaster.
    [Show full text]
  • “Dysrationalia” Among University Students: the Role of Cognitive
    “Dysrationalia” among university students: The role of cognitive abilities, different aspects of rational thought and self-control in explaining epistemically suspect beliefs Erceg, Nikola; Galić, Zvonimir; Bubić, Andreja Source / Izvornik: Europe’s Journal of Psychology, 2019, 15, 159 - 175 Journal article, Published version Rad u časopisu, Objavljena verzija rada (izdavačev PDF) https://doi.org/10.5964/ejop.v15i1.1696 Permanent link / Trajna poveznica: https://urn.nsk.hr/urn:nbn:hr:131:942674 Rights / Prava: Attribution 4.0 International Download date / Datum preuzimanja: 2021-09-30 Repository / Repozitorij: ODRAZ - open repository of the University of Zagreb Faculty of Humanities and Social Sciences Europe's Journal of Psychology ejop.psychopen.eu | 1841-0413 Research Reports “Dysrationalia” Among University Students: The Role of Cognitive Abilities, Different Aspects of Rational Thought and Self-Control in Explaining Epistemically Suspect Beliefs Nikola Erceg* a, Zvonimir Galić a, Andreja Bubić b [a] Department of Psychology, Faculty of Humanities and Social Sciences, University of Zagreb, Zagreb, Croatia. [b] Department of Psychology, Faculty of Humanities and Social Sciences, University of Split, Split, Croatia. Abstract The aim of the study was to investigate the role that cognitive abilities, rational thinking abilities, cognitive styles and self-control play in explaining the endorsement of epistemically suspect beliefs among university students. A total of 159 students participated in the study. We found that different aspects of rational thought (i.e. rational thinking abilities and cognitive styles) and self-control, but not intelligence, significantly predicted the endorsement of epistemically suspect beliefs. Based on these findings, it may be suggested that intelligence and rational thinking, although related, represent two fundamentally different constructs.
    [Show full text]
  • Race, Cognitive Biases, and the Power of Law Student Teaching Evaluations
    Race, Cognitive Biases, and the Power of Law Student Teaching Evaluations Gregory S. Parks* Decades of research shows that students’ professor evaluations are influenced by factors well-beyond how knowledgeable the professor was or how effectively they taught. Among those factors is race. While some students’ evaluative judgments of professors of color may be motivated by express racial animus, it is doubtful that such is the dominant narrative. Rather, what likely takes place are systematic deviations from rational judgment, whereby inferences about other people and situations are illogically drawn. In short, students’ cognitive biases skew how they evaluate professors of color. In this Article, I explore how cognitive biases among law students influence how they perceive and evaluate law faculty of color. In addition, I contend that a handful of automatic associations and attitudes about faculty of color predict how law students evaluate them. Moreover, senior, especially white, colleagues often resist considering the role of race in law students’ evaluations because of their own inability to be mindful of their own cognitive biases. Lastly, given research largely from social and cognitive psychology, I suggest a handful of interventions for law faculty of color to better navigate classroom dynamics. TABLE OF CONTENTS INTRODUCTION ................................................................................. 1041 I. RACE AND COGNITIVE INFLUENCES ON LAW STUDENT TEACHING EVALUATIONS ........................................................ 1044 * Copyright © 2018 Gregory S. Parks. Associate Dean of Research, Public Engagement, and Faculty Development, and Professor of Law, Wake Forest University School of Law. Thank you to the attendees of the 2015 John Mercer Langston Writing Workshop for the invaluable feedback on how to revise this Article and for the recommendation to hold-off publishing until after tenure.
    [Show full text]